Author

T. Vergne

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 5 Evolutionary Biology· 1

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Approach:statistical model· 5 Research Focus:host-pathogen & immune response· 3 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:Drosophila· 1 Research Focus:ecology & biodiversity· 1 Approach:mechanistic / dynamical model· 1

Frequent Co-Authors

M. Andraud· 4 shared C. Guinat· 3 shared J.-L. Guerin· 3 shared A. Scoizec· 2 shared B. Bauzile· 2 shared D. Chakraborty· 2 shared M. C. Paul· 2 shared A. Schmitz· 1 shared

Activity by Year

2020-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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4 shared papersEcology

M. Andraud

Mutual co-authors in cluster

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6 papers

Recent·Most cited

A multi-host mechanistic model of African swine fever emergence and control in Romania

B. H. Hayes, T. Vergne, N. Rose, C. Mortasivu, M. Andraud

This paper develops a mechanistic model to quantify African swine fever transmission between domestic pigs and wild boar in Romania and evaluates control strategies.

Nature Communications · Mar 30, 2026Peer-reviewedEcology

Two major epidemics of highly pathogenic avian influenza virus H5N8 and H5N1 in domestic poultry in France, 2020-2022

S. Lambert, B. Durand, M. Andraud, R. Delacoourt, A. Scoizec, S. Le Bouquin, S. Rautureau, B. Bauzile, C. Guinat, L. Fourtune, J.-L. Guerin, M. C. Paul, T. Vergne

This study analyzes two HPAI epidemics in French poultry, showing most outbreaks occurred in newly designated High-Risk Zones, which were effective in predicting outbreak locations.

bioRxiv · Jun 20, 2022Ecology

The African swine fever modelling challenge: objectives, model description and synthetic data generation

S. Picault, T. Vergne, M. Mancini, S. Bareille, P. Ezanno

This paper describes the first animal health modelling challenge for African swine fever, outlining objectives, a mechanistic model, synthetic data generation, and lessons learned.

bioRxiv · Dec 20, 2021Ecology

Phylodynamic assessment of control measures for highly pathogenic avian influenza epidemics in France

D. Chakraborty, C. Guinat, N. F. Müller, F.-X. Briand, M. Andraud, A. Scoizec, S. Lebouquin, E. Niqueux, A. Schmitz, B. Grasland, J.-L. Guerin, M. C. Paul, T. Vergne

This study uses phylodynamic analysis to assess the impact of control measures on H5N8 avian influenza spread in France, finding that culling reduced inter-departmental spread but transport within departments increased local transmission.

bioRxiv · Jun 23, 2021 · PreprintEvolutionary Biology

Modelling the deathbed of ASF-infected wild boars in South Korea using 2019-2020 national surveillance data

J.-S. Lim, T. Vergne, S.-I. Pak, E. Kim

This study models ASF-infected wild boar deathbeds in South Korea using surveillance data to identify spatial risk factors for ASF presence and carcass reporting.

bioRxiv · Jan 26, 2021Ecology

Inferring within-flock transmission dynamics of highly pathogenic avian influenza (H5N8) in France, 2020

T. Vergne, S. Gubbins, C. Guinat, B. Bauzile, M. Delpont, D. Chakraborty, H. Gruson, B. Roche, M. Andraud, M. Paul, J.-L. Guerin

This study uses a stochastic epidemic model and ABC-SMC to estimate H5N8 transmission dynamics in ducks, revealing key parameters and latent threats in France in 2020.

bioRxiv · Dec 21, 2020Ecology